Radiology Commons^™

A Dosimetric Comparison Of Halcyon 6x-Fff And Truebeam 6x In Prone Left Whole Breast Radiation Therapy, Maritza Soto, Kelly Labant, M.S., Cmd, Rt(T), Kristen Vu, M.S., Cmd, Rt(T)

Masters Projects

Purpose:

This retrospective study compared dosimetric differences between prone left whole breast radiation (WBRT) treatment plans originally generated for Halcyon using 6X flattening- filter-free (FFF) beams and replanned for a conventional TrueBeam using 6X beams.

Methods:

Ten prone whole left breast treatment plans were paired and retrospectively analyzed. Clinically treated Halcyon 6X flattening filter free plans were replanned on TrueBeam using flattened 6X beams in Eclipse v16.1. Contours for all plans were generated using artificial intelligence-based autosegmentation, reviewed by a medical dosimetrist and radiation oncologist, and forward planned with a tangent technique in EZFluence to achieve identical planning objectives. Dose …

Fast Mr Imaging: Reducing Sedation And Improving Patient Experience, Hajir Aljumaily

Radiologic Sciences

Purpose To examine the impact of fast magnetic resonance (MR) protocols on sedation requirements, patient tolerance, workflow efficiency, and diagnostic accuracy in musculoskeletal and brain imaging.

Method An integrative literature review was conducted using PubMed, CINAHL, and Google Scholar to identify peer-reviewed, original research articles published between 2019 and 2026. Studies were selected for relevance, human subjects, and outcomes related to sedation, patient experience, or diagnostic effectiveness.

Results Fast MR protocols were consistently associated with reduced sedation use, improved patient comfort, and increased exam completion rates. Workflow efficiency improved due to shorter scan times. Although minor reductions in image quality …

Disengagement And Reconnection: Investigating The Role Of Purpose And Identity Seeking Across Career Stages In Healthcare, Charmel Renee Jeffery

Radiologic Sciences

Purpose To examine the generational purpose gap in healthcare by identifying the psychological and environmental factors underlying early-career disengagement and late-career reconnection.

Method An integrative literature review was conducted using four academic databases. An artificial intelligence (AI)-assisted thematic synthesis was applied to extract and organize findings within a standardized analytic matrix. To ensure accuracy and rigor, all AI-generated outputs were validated against the original source data.

Results Two primary themes emerged. Early-career healthcare workers commonly experienced disengagement associated with destiny beliefs, while later-career professionals demonstrated renewed purpose and resilience despite ongoing stressors.

Discussion The findings revealed a pronounced generational divide …

Ai-Driven Multi-Modal Mr For Precision Oncology, Maneet K. Marwaha

Radiologic Sciences

Purpose To examine the role of artificial intelligence (AI) in multiparametric magnetic resonance (MR) imaging for precision oncology, with a focus on automated tumor segmentation, treatment response prediction, and workflow efficiency.

Method A literature review was conducted to examine current evidence on AI applications in multiparametric MR imaging for oncology. Studies evaluating deep learning models for tumor segmentation, longitudinal imaging analysis, and treatment response prediction were synthesized using a thematic analysis approach.

Results Three primary themes emerged: (a) AI-driven tumor segmentation improved accuracy, reproducibility, and efficiency across multiparametric MR sequences; (b) deep learning models enhanced prediction of treatment response through …

Mr-Linac Technology, Katherine Orellana

Radiologic Sciences

Purpose To examine the clinical advantages of magnetic resonance-guided linear accelerator (MR-Linac) technology in radiation therapy, with a focus on treatment accuracy, adaptive planning, and patient outcomes.

Method A literature review was conducted using peer-reviewed articles identified through The University of Texas MD Anderson Cancer Center Research Medical Library. Studies published between 2022 and 2026 were included if they addressed the clinical advantages of MR-Linac technology. Findings were synthesized using thematic analysis.

Results Three primary themes emerged: (a) superior soft-tissue visualization improved tumor delineation and treatment accuracy; (b) daily adaptive treatment planning and real-time tumor tracking enhanced precision by accounting …

Impact Of Music On Patient Comfort During Mr Scans: A Literature Review, He Yan

Radiologic Sciences

Purpose To investigate the influence of auditory stimuli on patient comfort levels during magnetic resonance (MR) imaging, with particular emphasis on indicators of distress, duration of patient positioning, and utilization of emergency signaling devices.

Method An integrative literature review was undertaken utilizing peer-reviewed research articles sourced from journals within the fields of radiology, music therapy, and clinical practice. A comprehensive search was conducted across databases such as PubMed, ScienceDirect, SpringerLink, and Oxford Academic employing keywords including MR anxiety, music therapy, and patient comfort.

Results The body of literature consistently indicated that auditory stimuli significantly mitigate patient anxiety and distress in …

Enhancing Cancer Diagnosis And Treatment Planning Through Multi-Modal Imaging Techniques: A Literature Review, Ngan Kim Le

Radiologic Sciences

Purpose To examine how combining magnetic resonance (MR), computed tomography (CT), and positron emission tomography (PET) enhances clinical outcomes in complex or metastatic cancers, focusing on diagnostic performance, staging accuracy, and effects on treatment decisions.

Method Data were extracted and analyzed using a thematic synthesis approach for this literature review. Key variables included study design, sample size, cancer type, imaging modalities used, and reported diagnostic outcomes such as sensitivity, specificity, and accuracy.

Results The integration of multiple imaging modalities enhanced diagnostic performance, improved differentiation between tumor recurrence and posttreatment changes, and increased detection of occult metastatic disease. Advanced imaging approaches, …

Ai-Enhanced Ct Reconstruction: Effects On Image Quality Across Dose Levels And Implications For Radiation Dose Optimization: A Systematic Review, Matthew R. Alberto

Radiologic Sciences

Purpose To evaluate how deep learning image reconstruction (DLIR) affects diagnostic image quality and noise characteristics at different radiation dose levels and how it influences dose optimization compared with conventional reconstruction methods.

Method A systematic review was conducted using major databases for studies published between 2020 and 2026. Eligible studies assessed DLIR across multiple dose levels, reported radiation dose, included quantitative image quality metrics, and compared DLIR with filtered back projection or iterative reconstruction.

Results Thirty‑seven studies met criteria, and 15 were synthesized. Three themes emerged: (a) DLIR reduced noise by 15–82% and often improved signal-to-noise and contrast-to-noise ratios while …

Reducing Mr Acquisition Times Using Artificial Intelligence: A Systematic Review, Fatin M. Arief

Radiologic Sciences

Purpose To synthesize existing evidence on artificial intelligence (AI) applications for reducing magnetic resonance (MR) imaging acquisition time, evaluate their impact on image quality, and identify challenges in clinical implementation.

Method A systematic literature review was conducted using PubMed, CINAHL, and Scopus including peer reviewed, English-language articles published between 2020 and 2026. Both qualitative and quantitative primary research were eligible and had to be on AI use in MR processes. Findings were analyzed through thematic synthesis, and the quality of each study was appraised using relevant critical appraisal tools.

Results Three major themes emerged: AI methods in MR procedures, perceived …

Impact Of Mr-Linac Technology On Prostate Cancer Treatment Outcomes, Anhdiep P. Tran

Radiologic Sciences

Purpose To evaluate the impact of magnetic resonance-guided linear accelerator (MR-Linac) technology on treatment precision, clinical outcomes, and operational challenges in prostate cancer radiotherapy.

Method A systematic literature review was conducted using PubMed, Scopus, and Google Scholar to identify peer-reviewed studies published between 2018 and 2026. Eligible studies evaluated MR-Linac technology for prostate cancer and reported outcomes related to treatment precision, toxicity, workflow, and clinical effectiveness.

Results Three primary themes emerged: (a) improved treatment precision through superior soft tissue visualization, real-time target tracking, and adaptive radiotherapy; (b) improved clinical outcomes characterized by reduced radiation exposure to organs at risk, decreased …

Gadolinium Deposition Concerns In Magnetic Resonance Imaging, Emily Tran

Radiologic Sciences

Purpose To examine how concerns about gadolinium deposition have influenced the use of macrocyclic versus linear contrast agents in magnetic resonance (MR) practice.

Method A structured literature review was conducted using AI-assisted research tools and academic databases to identify recent peer-reviewed original research articles related to gadolinium deposition and contrast agent use patterns in MR. Only studies published between 2020 and 2026 were included.

Results Recent research confirmed that gadolinium can accumulate in human tissues following contrast-enhanced MR examinations. Multiple studies demonstrated that linear gadolinium-based contrast agents are associated with greater levels of tissue retention compared with macrocyclic agents due …

Impact Of Artificial Intelligence On The Roles And Career Trajectories Of Radiologic Technologists, Carolina Esquivel

Radiologic Sciences

Purpose To examine how artificial intelligence (AI) is influencing the roles, responsibilities, and career trajectories of radiologic technologists by identifying emerging challenges and opportunities associated with AI integration in medical imaging.

Method A systematic literature review was conducted using PubMed and CINAHL to identify peer-reviewed studies published between 2016 and 2026. Eligible studies examined AI applications in medical imaging and their effects on workforce roles, education, collaboration, and professional practice. Findings were synthesized using thematic analysis.

Results Three primary themes emerged: (a) workflow efficiency and protocol optimization through AI-assisted imaging processes; (b) professional skill development and evolving responsibilities related to …

Work-Related Musculoskeletal Disorders In Sonography: Impact On Career Longevity And Evidence-Based Interventions For Workforce Retention, Aileen Gonzalez

Radiologic Sciences

Purpose To synthesize current evidence on work-related musculoskeletal disorders (WRMSDs) among sonographers, examine their impact on career longevity and job satisfaction, and identify leadership-driven interventions that support workforce retention.

Method A scoping review was conducted using PubMed, Google Scholar, and The University of Texas MD Anderson Cancer Center Research Medical Library to identify peer-reviewed studies published between 2020 and 2026. Eligible studies examined WRMSDs in sonographers and reported outcomes related to career longevity, job satisfaction, workplace retention, or injury prevention interventions. Findings were synthesized thematically.

Results Three primary themes emerged: (a) WRMSDs are highly prevalent across sonography specialties and represent …

High-Definition Healing: Investigating Ai-Driven Mr Reconstruction Methods, Jerell R. Jones

Radiologic Sciences

Purpose To analyze recent artificial intelligence (AI)-driven magnetic resonance (MR) reconstruction methods aimed at addressing long acquisition times, image artifacts, and workflow inefficiencies.

Method A systematic literature review was conducted using PubMed, Scopus, and Scopus AI, targeting peer‑reviewed studies published between 2015 and 2026. Search terms included “MRI,” “magnetic resonance imaging,” “artificial intelligence,” “deep learning,” and “machine learning.” Eligible studies included methodology, validation, and review papers. Extracted data included algorithm type, study design, key findings, and limitations. Themes were identified through content analysis and generative AI use.

Results Prominent themes identified were the emergence of generative adversarial networks, advanced neural …

Administrative And Clinical Impacts Of Theranostic Program Expansion In Nuclear Medicine, Karmela Kljajic Pascual

Radiologic Sciences

Purpose To synthesize current evidence on theranostic trials, nuclear medicine clinical workflow models, and organizational readiness, with a focus on how healthcare organizations and medical imaging leaders are adapting to the rapid expansion of theranostic services.

Method A comprehensive search was conducted across Scopus, PubMed, MEDLINE, and Google Scholar. Inclusion criteria required peer‑reviewed articles published between 2002 and 2026 addressing nuclear medicine leadership, theranostic implementation, workflow design, and organizational factors influencing theranostic program development. Exclusion criteria removed editorials, blog posts, and nonpeer‑reviewed sources.

Results Four major themes emerged: workforce and staffing demands, infrastructure and resource requirements, regulatory and administrative pressures, …

Evaluating The Safety Of Mr Exposure For Electronic Devices And Implants: A Literature Review, Molly O'Dowd

Radiologic Sciences

Purpose To review literature examining the factors that determine magnetic resonance (MR) compatibility of electronic implants and wearable devices, including device materials, engineering design, regulatory approval processes, and clinical monitoring requirements.

Method An integrative literature review was conducted using peer-reviewed literature addressing MR safety and device compatibility. Databases searched included PubMed, Wiley Online Library, ScienceDirect, and Google Scholar. Studies were selected based on relevance to MR safety classifications, device design considerations, regulatory labeling, and monitoring requirements.

Results The literature demonstrated that MR compatible devices are engineered and tested to meet regulatory safety standards and approved for use under specific scanning …

Application Of Lean Six Sigma Strategies To Improve Diagnostic Imaging Departmental Performance Metrics: A Literature Review, Obinna Newman Osuji

Radiologic Sciences

Purpose To systematically evaluate the effectiveness of Lean and Six Sigma quality improvement approaches in enhancing diagnostic imaging workflows and departmental financial performance.

Method Literature for this review was retrieved from Scopus, CINAHIL Plus, PubMed, and Healthcare Administration Database in February and March 2026. Empirical studies and literature reviews were included if they addressed the utilization of Lean Six Sigma, Lean, or Six Sigma as a method of quality improvement within a diagnostic imaging departmental setting.

Results Database searches generated 1,624 articles, and 17 were deemed suitable for inclusion in the study. There were four studies that directly measured patient …

Assault Vs. Assistance: Radiologic Technologist Decision-Making When Fall-Risk Patients Decline Assistance, Pamela O'Dowd

Radiologic Sciences

Purpose To explore how radiologic technologists experience and respond to situations involving fall-risk patients who decline assistance during imaging procedures.

Method A cross-sectional survey design was used to collect data from practicing radiologic technologists recruited through the American Society of Radiologic Technologists. Descriptive statistics, including frequencies and percentages, were analyzed using SPSS to summarize participant responses, and a thematic analysis was conducted on open-ended responses.

Results A total of 87 respondents completed the survey. Results indicated that encounters with fall-risk patients who refuse assistance are common in clinical imaging practice. Sixty-three (72.4%) technologists reported having experienced situations in which a …

Magnetic Resonance In Pregnancy: Safety Considerations, Contrast Risks, And Imaging Modality Alternatives, Lizzette Valdez

Radiologic Sciences

Purpose To examine the safety of magnetic resonance (MR) during pregnancy by evaluating fetal outcomes, contrast agent risks, and the comparative roles of MR, ultrasound, and computed tomography (CT) in prenatal imaging.

Method A literature review was conducted using PubMed and peer-reviewed radiology journals to identify studies evaluating MR safety during pregnancy. The review examined fetal and neonatal outcomes following prenatal MR exposure, trimester-specific imaging considerations, risks associated with gadolinium-based contrast agents, and comparisons among MR, ultrasound, and CT.

Results Three primary themes emerged: (a) noncontrast MR demonstrated a strong safety profile with no consistent association with adverse fetal or …

Comparing Ai-Generated And Human-Written Radiology Reports: Evidence From The Literature, Lakenya Webb

Radiologic Sciences

Purpose To evaluate the current evidence comparing artificial intelligence (AI)-generated radiology reports with radiologist-written reports, emphasizing diagnostic accuracy, clinical reasoning, workflow efficiency, and patient safety.

Method A literature review was performed using peer-reviewed articles identified through The University of Texas MD Anderson Cancer Center Research Medical Library. Studies evaluating AI-generated radiology reports were analyzed using AI-assisted thematic synthesis to identify recurring patterns related to report quality, diagnostic performance, and clinical implementation.

Results The literature consistently identified three overarching themes: (a) AI-generated reports demonstrated improvements in structured reporting and factual consistency but exhibited variable diagnostic accuracy; (b) current AI systems had …

Deep Learning Reconstruction In Pediatric Ct Imaging, Cody Wyatt

Radiologic Sciences

Purpose To synthesize current evidence on dose optimization using deep learning reconstruction (DLR) with emphasis on computed tomography (CT), pediatrics, contrast to noise ratio (CNR), signal to noise ratio (SNR), and radiation dosage.

Method The methodology was a systematic literature review, synthesizing peer-reviewed literature on the use of DLR in pediatric CT. Databases searched included Scopus, IEEE Xplore, and Web of Science. Keywords include combinations of deep learning reconstruction, DLR, CT, pediatric, dose, and optimization. Boolean operators were used to refine search results.

Results Three themes emerged: dosage reduction, noise reduction, and improved spatial resolution with the use of DLR …

National Pacs And Electronic Health Records: Considerations, Challenges, And Implications For Radiomics, Darchelle Scott

Radiologic Sciences

Purpose To examine the considerations, challenges, and implications of implementing a national picture archiving and communication system (PACS) integrated with electronic health records (EHRs), with particular emphasis on interoperability, radiomics, and patient-centered data sharing.

Method A systematic literature review was conducted using books, peer-reviewed articles, original research studies, and government publications addressing radiomics, TEFCA, blockchain technology, PACS, and EHR integration. Literature was analyzed to evaluate national health information exchange, radiomics applications, and implementation challenges associated with a connected healthcare infrastructure.

Results Three primary themes emerged: (a) interoperable national PACS and EHR systems have the potential to improve continuity of care …

Ai-Driven Segmentation And Volumetric Response Modeling Of Liver Regions To Radiotherapy, Aashish Chandra Gupta

Dissertations and Theses (Open Access)

In liver-directed radiotherapy (RT), liver regions receiving higher doses typically undergo atrophy while contralateral/adjacent lower-dose regions may exhibit compensatory hypertrophy through regeneration of healthy tissue. Optimizing the RT plan to promote regional hypertrophy while minimizing the risk of developing atrophy has the potential to enhance post-RT liver function and long-term survivorship. However, current clinical practice largely relies on global liver dose-volume metrics during RT-planning, which may obscure favorable dose-response correlation and limit actionable guidance for clinicians. Therefore, we hypothesized that post-RT regional liver response is governed by a combination of region-specific dose-volume and patient clinical features, and that these responses …

Fractured Focus: Understanding Stress In Second-Year Radiologic Science Students Across Alabama, Kelsi Clotfelter

Honors Theses

Higher education is a period of rapid transition and growing responsibility, where stress often becomes a routine part of students’ lives. In health professional programs, the combined demands of intensive coursework and clinical training can intensify emotional strain and negatively affect overall well-being. Radiography students experience uniquely high levels of academic, clinical, and emotional stress due to the simultaneous demands of didactic coursework, competency-based clinical training, and high-stakes professional expectations. A cross-sectional mixed-methods study was employed to evaluate the prevalence, sources, and perceived impact of stress among second-year radiography students across multiple Alabama institutions with the goal of identifying strategies …

Technical Development, Optimization, And Clinical Implementation Of Quantitative Magnetic Resonance Imaging Methods For Radiation Oncology, Lucas Mccullum

Dissertations and Theses (Open Access)

Magnetic resonance imaging (MRI) has gradually grown more important in the field of radiation oncology. This paradigm shift has grown from initial experiments with MRI of cancerous lesions in the early 1970s, to the integration of MRI images for radiation therapy treatment planning (i.e., MRI-Simulation) in the early 1980s, to the combined MRI linear accelerator (MR-Linac) becoming commercially available in 2018 which can simultaneously image a tumor and treat it with radiation. However, due to its novelty in radiation oncology, its full potential for the integration of quantitative MRI-based biomarkers has yet to be fully realized.

Therefore, this dissertation will …

Deep Learning Based Approaches For Low Cost Defense Detection, Adele J. Noel-Rickert

All NMU Master's Theses

Pulmonary fibrosis is a progressive interstitial lung disease characterized by the accumulation of fibrotic tissue within the lungs, leading to impaired respiratory function and reduced quality of life. Early detection is important for disease management; however, accurate diagnosis often relies on high-resolution computed tomography (CT), which may not be accessible in all clinical settings. Chest radiography provides a lower-cost and widely available imaging modality, but interpretation of chest X-rays for fibrotic disease can be challenging due to subtle radiographic patterns and overlapping anatomical structures. This thesis investigates the use of multimodal deep learning techniques to assist in pul- monary fibrosis …

A Framework For Digital Energy Modulation And Translation In Projectional X-Ray Imaging, Richard R. Wargo

Theses and Dissertations

In projectional X-ray imaging, acquisition energy fundamentally influences subject contrast, image noise, and radiation dose. While dual-energy techniques exploit spectral differences to optimize contrast and enable material separation, acquiring multiple images of the same anatomy often requires additional exposures and increased system complexity.

This dissertation presents a framework for digital energy modulation (DEM), in which computational models are trained to translate projection images between energy domains without requiring additional X-ray acquisitions. DEM is conceived as a generalizable strategy for controlled contrast modulation in projection imaging, with potential applications in image optimization, radiation therapy alignment, and dual-energy applications.

The framework was …

Exploring Generation Z Student Satisfaction In Radiography Programs Within A Southern State: Development And Application Of A Survey Instrument For Leadership Use, Brittany Seruntine Smith

Doctoral Dissertations

This dissertation employed a sequential exploratory mixed-methods design to examine the extent to which Generation Z students in radiography programs within a southern state perceive that their needs and expectations are being fulfilled. Additionally, the study examined how program leaders perceived and plan to utilize the survey and its findings within the cycle of continuous program improvement and accreditation readiness. A Likert-scale survey instrument was constructed by cross-referencing Generation Z’s characteristics, needs, and expectations with JRCERT standards. Items were refined through target population focus groups and validated using Lawshe’s Content Validity Ratio. The validated instrument was then administered to Generation …

Detection Rate And Patterns Of Biochemical Recurrence Of Prostate Cancer Using 18f-Psma-1007 Pet/Ct At A Tertiary Teaching Hospital In Sub-Saharan Africa., Lynet Wairimu Barasa

Master of Medicine in Imaging and Diagnostic Radiology

Background: Rising PSA levels following local therapy with curative intent are seen in about one third of men previously treated for prostate cancer, indicative of disease recurrence. This is usually not detectable through imaging modalities like computed tomography (CT) or magnetic resonance imaging (MRI). Several studies show high detection rates of recurrence with 18F-PSMA-1007 PET/CT, one of the novel PET imaging modalities for prostate cancer. No studies, however, have been done to show the patterns of recurrence in the Sub-Saharan African population in whom prostate cancer is known to occur earlier and be more aggressive. Biochemical recurrence almost always …

Comparison Of Positivity Rate Of Dual Phase Sestamibi Versus Dual Tracer Pertechnetate/Sestamibi In Identification Of Parathyroid Adenomas., Naomi Chirindo Chikuro

Master of Medicine in Imaging and Diagnostic Radiology

Background 

Parathyroid adenomas are the commonest cause of primary hyperparathyroidism. The primary mode of treatment is surgical excision which can only be achieved with pre surgical localization of adenomas. Ultrasound, CT and MRI can be used but the most sensitive and specific imaging modality is parathyroid scintigraphy with use of Sestamibi labelled with technetium 99 metastable radionuclide. A few studies have been done comparing dual phase, dual tracer and combined dual phase/tracer protocols with an apparent lack of consensus on which is superior.

Objectives

This study aimed to compare the positivity rates of the mentioned parathyroid scintigraphy protocols and identify …